Marika Kaakinen

This study identifies genetic associations between COMT, ADH1B-ADH1C, and HTR2A loci and substance use disorders in Ukrainians, replicating some findings and providing new evidence for hallucinogen use.

The paper identifies genetic clusters underlying T2D and hypertension comorbidity using partitioned polygenic scores, improving risk prediction for individuals with heightened susceptibility.

The paper introduces a framework for time-varying GWAS to identify age-varying genetic effects on BMI across childhood, finding 28 genome-wide significant variants, including a novel one in DAOA.

The paper identifies enriched gut microbiome genera in Kashmiri women with PCOS, linking them to metabolic and hormonal factors.

This study performs a GWAS on random glucose measurements in 493,036 individuals, identifying 128 loci associated with glycaemic traits and providing insights into diabetes biology and treatment.

The paper evaluates a genetic risk score for recurrent pregnancy loss in a Ukrainian population, finding it significantly associated with increased risk.

This study identifies 242 genetic loci for glycaemic traits using trans-ancestry meta-analysis, finding 99 novel loci and improved fine-mapping resolution compared to single-ancestry analyses.

The paper introduces methylSCOPA and META-methylSCOPA software for multi-phenotype epigenome-wide association studies, identifying significant methylation sites associated with fasting glucose and insulin levels.

The paper uses GWIS to analyze genetic correlations between HOMA-B/-IR and inflammatory markers, identifying novel loci and strong genetic links with PAI-1 and C-reactive protein.

The paper uses machine learning to predict glycaemic traits from multi-omics data in longitudinal cohorts, identifying key predictors like methylation marks and metabolic variables.

This study identifies common genetic variants associated with pulmonary arterial hypertension risk and survival, focusing on HLA-DPA1/DPB1 and a SOX17 enhancer locus.

This study identifies genetic loci associated with early childhood growth phenotypes and links them to later adiposity traits, suggesting potential targets for obesity prevention.